NDLI: Microblog User Interest Modeling Based on Feature Propagation

Content Provider	IEEE Xplore Digital Library
Author	Qiunan Liu Kai Niu Zhiqiang He Xuan He
Copyright Year	2013
Description	Author affiliation: Key Lab. of Universal Wireless Commun., Beijing Univ. of Posts & Telecommun., Beijing, China (Qiunan Liu; Kai Niu; Zhiqiang He) \|\| Digital Media Div., China Unicom Broadband Online Co. Ltd., Beijing, China (Xuan He)
Abstract	This paper focuses on the problem of building the user interest graph on microblog. While previous efforts in interest modeling on microblog have focused on building a "bag-of-words" profile only based on his own content or his followees' for each user. They ignored the fact that users always released posts about the fields which they are expert in, but not really interested in. By introducing the side information, a novel method is proposed to settle this problem by analyzing the posts they receive and update. The interest features are extracted from the user's followee by Latent Dirichlet Allocation (LDA), and then they are propagated to the user with a weighting factor. For every user, our method gives probabilities of different fields they may be interested in and it can be used for calculating the probability of a new topic this user will be interested in. We exploit the collected experimental data provided by Sina Weibo API to validate our method.
Sponsorship	Nanjing Sect. CIS Chapt.
Starting Page	383
Ending Page	386
File Size	192388
Page Count	4
File Format	PDF
ISBN	9780769550794
DOI	10.1109/ISCID.2013.102
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-10-28
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Computational modeling feature propagation Companies side information LDA Feature extraction Vectors Internet Mathematical model Equations interest graph
Content Type	Text
Resource Type	Article

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